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class="post-meta-label">发表于</span><time class="post-meta-date-created" datetime="2021-05-03T08:42:09.000Z" title="发表于 2021-05-03 16:42:09">2021-05-03</time><span class="post-meta-separator">|</span><i class="fas fa-history fa-fw post-meta-icon"></i><span class="post-meta-label">更新于</span><time class="post-meta-date-updated" datetime="2021-05-05T10:44:37.788Z" title="更新于 2021-05-05 18:44:37">2021-05-05</time></span><span class="post-meta-categories"><span class="post-meta-separator">|</span><i class="fas fa-inbox fa-fw post-meta-icon"></i><a class="post-meta-categories" href="/a_zhangqingxiang.gitee.io/categories/Mindspore/">Mindspore</a></span></div><div class="meta-secondline"><span class="post-meta-separator">|</span><span class="post-meta-pv-cv" id="" data-flag-title="Mindspore快速上手"><i class="far fa-eye fa-fw post-meta-icon"></i><span class="post-meta-label">阅读量:</span><span id="busuanzi_value_page_pv"></span></span></div></div></div></header><main class="layout" id="content-inner"><div id="post"><article class="post-content" id="article-container"><h3 id="Mindspore快速上手"><a href="#Mindspore快速上手" class="headerlink" title="Mindspore快速上手"></a>Mindspore快速上手</h3><p>本周末参加了华为mindspore深度学习框架的第三期训练营。在这次训练营中，mindspore由上次的0.3版本迅速的增加到了0.6版本。课程安排是这样的：<br>第一天：<br>                  1、快速上手mindspore指南<br>        2、学习mindspore训练yolov3模型。<br>        3、如何快速用Mindspore训练bert模型<br>        4、用Mindspore Serving完成模型部署</p>
<p>第二天：<br>            1、用MIndspore训练ResNet50模型<br>            2、性能大杀器——如何用Mindspore实现量化训练<br>            3、用Mindspore实现Wide&amp;Deep模型<br>通过这两天的爆肝学习，学习到很多知识，但是还有许多不明白的地方。这一篇就写出快速上手指南嘞。</p>
<h2 id="一、环境部署"><a href="#一、环境部署" class="headerlink" title="一、环境部署"></a>一、环境部署</h2><p>Mindspore架构：<br><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809203002392.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NTAxNDYzNA==,size_16,color_FFFFFF,t_70" alt="在这里插入图片描述"></p>
<h4 id="使用环境："><a href="#使用环境：" class="headerlink" title="使用环境："></a>使用环境：</h4><h5 id="win10-anaconda-Mindspore"><a href="#win10-anaconda-Mindspore" class="headerlink" title="win10+anaconda+Mindspore"></a>win10+anaconda+Mindspore</h5><h4 id="步骤如下："><a href="#步骤如下：" class="headerlink" title="步骤如下："></a>步骤如下：</h4><p>安装配置如下：<br>使用是Mindspore的0.5版本滴<br><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809203317128.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NTAxNDYzNA==,size_16,color_FFFFFF,t_70" alt="在这里插入图片描述"><br>1、先创建虚拟环境<br>先点击这个<br><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809203614416.png" alt="在这里插入图片描述"><br>使用下面命令进行创建环境并进入环境</p>
<figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><span class="line">conda create -n mindspore python=3.7.5 </span><br><span class="line">conda activate mindspore</span><br></pre></td></tr></table></figure>
<p><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/2020080920383195.png" alt="在这里插入图片描述"><br>2、安装Mindspore框架</p>
<figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">conda install https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.5.0-beta/MindSpore/cpu/windows_x64/mindspore-0.5.0-cp37-cp37m-win_amd64.whl</span><br></pre></td></tr></table></figure>

<p>这里会自动安装MIndspore运行其他的包或者库的</p>
<p>3.下载代码</p>
<figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">git <span class="built_in">clone</span> https://github.com/mindspore-ai/docs.git</span><br></pre></td></tr></table></figure>
<p>4、进入目录，使用cd命令<br>lenet.py文件在./doc/tutorials/tutorial_code目录下面，使用cd命令依次进入<br>如图：<br><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809204254110.png" alt="在这里插入图片描述"><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809204314176.png" alt="在这里插入图片描述"><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809204323653.png" alt="在这里插入图片描述"></p>
<p>运行lenet.py文件<br><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809204332819.png" alt="在这里插入图片描述"><br>5.结果、结束。<br><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809204713534.png" alt="在这里插入图片描述"><img src= "/a_zhangqingxiang.gitee.io/img/loading.gif" data-lazy-src="https://img-blog.csdnimg.cn/20200809204725827.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NTAxNDYzNA==,size_16,color_FFFFFF,t_70" alt="在这里插入图片描述"></p>
</article><div class="post-copyright"><div class="post-copyright__author"><span class="post-copyright-meta">文章作者: </span><span class="post-copyright-info"><a href="mailto:344285081@qq.com">cattle_coder</a></span></div><div class="post-copyright__type"><span class="post-copyright-meta">文章链接: </span><span class="post-copyright-info"><a href="https://azhangqingxiang.gitee.io/a_zhangqingxiang.gitee.io/2021/05/03/Mindspore%E7%9A%84%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B/">https://azhangqingxiang.gitee.io/a_zhangqingxiang.gitee.io/2021/05/03/Mindspore%E7%9A%84%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B/</a></span></div><div class="post-copyright__notice"><span class="post-copyright-meta">版权声明: </span><span class="post-copyright-info">本博客所有文章除特别声明外，均采用 <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank">CC BY-NC-SA 4.0</a> 许可协议。转载请注明来自 <a href="https://azhangqingxiang.gitee.io/a_zhangqingxiang.gitee.io" target="_blank">cattle_coder</a>！</span></div></div><div class="tag_share"><div class="post-meta__tag-list"><a class="post-meta__tags" href="/a_zhangqingxiang.gitee.io/tags/%E7%AE%80%E5%8D%95/">简单</a></div><div class="post_share"><div class="addthis_inline_share_toolbox"></div><script src="//s7.addthis.com/js/300/addthis_widget.js#pubid=https://www.addthis.com/" async="async"></script></div></div><div class="post-reward"><div class="reward-button button--animated"><i class="fas fa-qrcode"></i> 打赏</div><div class="reward-main"><ul class="reward-all"><li class="reward-item"><a href="/a_zhangqingxiang.gitee.io/img/wechat.jpg" target="_blank"><img class="post-qr-code-img" data-lazy-src="/a_zhangqingxiang.gitee.io/img/wechat.jpg" alt="微信"/></a><div class="post-qr-code-desc">微信</div></li><li class="reward-item"><a href="/a_zhangqingxiang.gitee.io/img/alipay.jpg" target="_blank"><img class="post-qr-code-img" data-lazy-src="/a_zhangqingxiang.gitee.io/img/alipay.jpg" alt="支付宝"/></a><div class="post-qr-code-desc">支付宝</div></li></ul></div></div><nav class="pagination-post" id="pagination"><div class="prev-post pull-left"><a href="/a_zhangqingxiang.gitee.io/2021/05/03/GBDT+LR%E7%AE%80%E4%BB%8B/"><img class="prev-cover" data-lazy-src="https://i.loli.net/2019/12/25/8t97aVlp4hgyBGu.jpg" onerror="onerror=null;src='/a_zhangqingxiang.gitee.io/img/404.jpg'" alt="cover of previous post"><div class="pagination-info"><div class="label">上一篇</div><div class="prev_info">一. 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